Release bayestestR 0.15.0 · easystats/bayestestR

Changes

Support for posterior::rvar-type column in data frames.
For example, a data frame df with an rvar column ".pred" can now be
called directly via p_direction(df, rvar_col = ".pred").
Added support for {marginaleffects}
The ROPE or threshold ranges in rope(), describe_posterior(), p_significance()
and equivalence_test() can now be specified as a list. This allows for different
ranges for different parameters.
Results from objects generated by {emmeans} (emmGrid/emm_list) now
return results with appended grid-data.
Usability improvements for p_direction():
- Results from p_direction() can directly be used in pd_to_p().
- p_direction() gets an as_p argument, to directly convert pd-values into
  frequentist p-values.
- p_direction() gets a remove_na argument, which defaults to TRUE, to
  remove NA values from the input before calculating the pd-values.
- Besides the existing as.numeric() method, p_direction() now also has an
  as.vector() method.
p_significance() now accepts non-symmetric ranges for the threshold argument.
p_to_pd() now also works with data frames returned by p_direction(). If
a data frame contains a pd, p_direction or PD column name, this is assumed
to be the pd-values, which are then converted to p-values.
p_to_pd() for data frame inputs gets a as.numeric() and as.vector()
method.